Overview

Identification

COUNTRY

Mongolia

TITLE

MICS 2012 (Nalaikh District)
 

STUDY TYPE

Multiple Indicator Cluster Survey - Round 1 [hh/mics-1]
 

SERIES INFORMATION

2000, 2005, 2010, 2012
 

Version

VERSION DESCRIPTION

Version 1.0
 

PRODUCTION DATE

2017-05-15

Overview

ABSTRACT

This report presents the findings of the Child development survey (CDS), conducted by the Statistics Department of Khuvsgul aimag in 2012 with financial and technical support provided by the National Statistics Office (NSO) and United Nations Children's Fund (UNICEF). The survey provides valuable information on the situation of children, women and men in Khuvsgul aimag, for measuring fulfilment of their rights of and was based largely on the needs to monitor progress towards goals and targets pertinent to recent international agreements: the Millennium Declaration, adopted by all 191 United Nations Member States in September 2000, and the Plan of Action of A World Fit For Children, adopted by 189 Member States at the United Nations Special Session on Children in May 2002. Both of these commitments build upon promises made by the international community at the 1990 World Summit for Children.

Survey objectives

Khuvsgul aimag "Child Development Survey 2012" (CDS) has the following primary objectives:

• To provide up-to-date information for assessing at the aimag level the following national and international level policies and programmes - the World Fit for Children Declaration - Millennium Development Goals - Reproductive Health Programme • To serve the baseline for UNICEF's Country Programme 2012-2016 • To build the capacity of the Statistics Department of the aimag
 

KIND OF DATA

Sample survey data [ssd]
 

UNITS OF ANALYSIS

Household and household members
 

Coverage

GEOGRAPHIC COVERAGE

Nalaikh District
 

UNIVERSE

In total, 1,000 households selected for the sample, and of these 956 were found to be available for the survey. Of these, 949 households were successfully interviewed for a household response rate of 99 percent. In the interviewed households, out of the total 799 men and 929 women, age 15-49 years, enlisted for the survey, 705 men and 889 women were successfully interviewed, yielding a response rate of 88 and 96 percent respectively. In addition, 433 children under age of 5 and 896 children age 2-14 years were listed in the household questionnaire. Questionnaires were completed with mothers/ caretakers for 429 of these under-5 children and for 894 of children age 2-14, which corresponds to response rates of 99 and 100 percent respectively, within interviewed households. Nalaikh district’s overall response rates stand at 88 percent for men, 95 percent for women age 15-49 years, 98 percent and 99 percent are calculated for mothers/ caretakers of children under 5's and children age 2-14's respectively (please refer to Table HH.1). However, the response rate for men age 15-49 years’ interviews is relatively lower than the response rates for other interviews, because of the dynamic mobility nature of men, particularly of young men.
 

Producers and Sponsors

PRIMARY INVESTIGATOR(S)

FUNDING

Metadata Production

METADATA PRODUCED BY

DATE OF METADATA PRODUCTION

2017-05-15

DDI DOCUMENT VERSION

version 1.0
 

DDI DOCUMENT ID

DDI-MNG-NSO-EN-MICS-2012-NA-v1.0

Sampling

Sampling Procedure

Sample design
The Child development survey is a household-based survey. Therefore households are defined as the sampling units. The sample for the survey was designed to provide estimates for a large number of indicators on the situation of children, women and men at the aimag (province) level. The total sample size was determined as 2,000 households and it was variably allocated for each of the soums depending on the respective number of households.
The lowest administrative units (bagh of soum's in the aimag) were defined as primary sampling units (PSUs). In total for the Khuvsgul aimag, 80 PSUs were selected systematically with probability proportional to size. After a household listing of the selected PSUs was carried out by the soum's state treasury representative and the bagh governor, 25 households were selected using systematic random sampling in each PSU.
During the data collection fieldwork in August-September 2012, we had encountered a problem due to nonappearance of families at the registered addresses, and absence of family members, because of seasonal movement for livestock hay and fodder preparation, as well as during the vacation period. In spite of this, we managed to collect survey data from the selected baghs.
Data were collected from the households in the sample, and for reporting aimag level results, sample weights are used.

Data Collection

Data Collection Dates

Data Collection Mode

Face-to-face [f2f]

DATA COLLECTION NOTES

Training for the fieldwork personnel was conducted for nine days on 1-9 July 2012, including both forms of lectures and practice sessions.
The lectures held by the experts in the relevant field and practices were done for each group of questionnaires. In collaboration with the Nutrition Research Centre of the Public Health Institute, 20 trainees practiced child anthropometry measurements and iodine content of salts. At the end of the lectures and practices on child anthropometry measurements. Finally, the participants took tests and the interviewers, editors and supervisors were selected based on their performance on the tests.
The data were collected by two teams; each team was comprised of a supervisor, an editor and 5 interviewers (2 men assigned as main measurers4). The data collection fieldwork for the Nalaikh District's "Child Development Survey-2012" was carried out in July-August 2012 for the duration of 50 days. The process and quality had been monitored by the Statistics Department of Nalaikh District. Fieldwork personnel's achievements and disadvantages had been discussed during the monitoring visits and necessary actions had been taken accordingly.

Data Collectors

Data Processing

Data Editing
The data collected from the selected households were entered on computers using the CSPro 4.0 software program by one data entry supervisor and two data entry operators from 20 August to 10 September 20125. In order to ensure quality control, all data were double entered and internal consistency checks were performed before finalization of the database. The procedures and standard programs developed under the global MICS4 programme and adapted to the Nalaikh CDS's customized questionnaires with additional module and questions were used throughout.
The data were analyzed using the standard SPSS 18.0 (Statistical Package for Social Sciences) software program and the model syntax and tabulation plans developed by UNICEF were customized for Nalaikh CDS 2012 questionnaires.

Data Appraisal

Estimates of Sampling Error

The sample of respondents selected in the Nalaikh District Multiple Indicator Cluster Survey 2012 is only one of the samples that could have been selected from the same population, using the same design and size. Each of these samples would yield results that slightly differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between the estimates from all possible samples. The extent of variability is not known exactly, but can be estimated statistically from the survey data. The following sampling error measures are presented in this appendix for each of the selected indicators:
- Standard error (se): Sampling errors are usually measured in terms of standard errors for particular indicators (means, proportions etc). Standard error is the square root of the variance of the estimate. The Taylor linearization method is used for the estimation of standard errors.
- Coefficient of variation (se/r) is the ratio of the standard error to the value of the indicator, and is a measure of the relative sampling error.
- Design effect (deff) is the ratio of the actual variance of an indicator, under the sampling method used in the survey, to the variance calculated under the assumption of simple random sampling. The square root of the design effect (deft) is used to show the efficiency of the sample design in relation to the precision. A deft value of 1.0 indicates that the sample design is as efficient as a simple random sample, while a deft value above 1.0 indicates the increase in the standard error due to the use of a more complex sample design.
- Confidence limits are calculated to show the interval within which the true value for the population can be reasonably assumed to fall, with a specified level of confidence. For any given statistic calculated from the survey, the value of that statistic will fall within a range of plus or minus two times the standard error (r + 2.se or r – 2.se) of the statistic in 95 percent of all possible samples of identical size and design.

For the calculation of sampling errors from MICS data, SPSS Version 18 Complex Samples module has been used. The results are shown in the tables that follow. In addition to the sampling error measures described above, the tables also include weighted and unweighted counts of denominators for each indicator. Sampling errors are calculated for the district results. Three of the selected indicators are based on households, 24 are based on household members, 53 are based on women, 34 are based on men, 40 are based on children under 5 and 2 are based on children age 2-14 years. All indicators presented here are in the form of proportions. Table SE.1 shows the list of indicators for which sampling errors are calculated, including the base population (denominator) for each indicator.